About the Course:

AI and Large Language Models (LLMs) are revolutionizing industries, automating workflows, and enhancing productivity across multiple domains. However, the complexity of AI development often discourages non-technical individuals from exploring this field.

This course is designed for beginners with no coding experience and will provide a step-by-step guide on how LLMs work, how they can be built using no-code tools, and how to fine-tune them for specific tasks. By the end of the course, participants will have hands-on experience creating, fine-tuning, and deploying their own LLM using accessible, no-code platforms

Course Objective:

• Understand what LLMs are and how they work (in simple, non-technical terms)
• Learn the difference between open-source and proprietary LLMs
• Explore the essential steps involved in building an LLM without coding
• Learn how to collect and prepare training data for LLMs
• Gain hands-on experience using no-code AI platforms to build an LLM
• Fine-tune an LLM for specific tasks such as chatbots and text generation
• Deploy their custom-trained LLM for real-world use

Who is the Target Audience?

• Non-technical learners – Anyone with no prior coding or AI experience who wants to understand LLMs
• Business professionals – Decision-makers looking to integrate AI into their businesses
• Content creators & marketers – Individuals exploring AI-driven automation for content generation
• Educators & researchers – Those interested in using AI for knowledge sharing and education
• AI enthusiasts – Anyone curious about AI and looking for an easy-to-follow introduction

Basic Knowledge:

This course is designed to be completely beginner-friendly, and no prior AI or programming knowledge is required. However, having a basic understanding of the following will be beneficial:

• Basic Computer Skills – Ability to navigate web-based tools and platforms
• General Awareness of AI Concepts (Optional) – Helps in understanding real-world applications
• No Coding or Machine Learning Experience Needed – The course uses no-code platforms to simplify LLM creation